Test Automation Specialist – Data Testing
Key Responsibilities
- Design and develop automation frameworks for data testing and regression testing.
- Create automated test cases for data ingestion, transformation, validation, and reconciliation.
- Validate data quality using SQL and large-scale datasets.
- Integrate automated tests into CI/CD pipelines.
- Collaborate with Data Engineers, QA teams, and business stakeholders.
- Analyze and troubleshoot test failures and data quality issues.
Required Skills
- Strong understanding of Data Warehouses, Data Lakes, ETL/ELT pipelines, and Data Models.
- Hands-on experience building test automation frameworks from scratch.
- Strong SQL and data validation expertise.
- Programming skills in Python, Java, or similar.
- Experience with CI/CD tools and automated test execution.
- Excellent analytical and problem-solving skills.
Nice to Have
- Snowflake, Databricks, Azure Synapse, BigQuery, or similar cloud data platforms.
- Great Expectations, dbt Tests, PyTest, Selenium, or equivalent tools.
- Experience in Banking, Financial Services, or large enterprise data environments.
What We're Looking For
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
